[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"deterioration-clinical\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:deterioration-clinical":27},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,6,0,[8,41,79,107,131,149],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":4,"eligibilityCriteria":15,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":18,"enrollmentInfo":19,"targetDuration":4,"studyType":22,"phases":4,"briefSummary":23,"conditions":24,"keywords":4,"overallStatus":28,"whyStopped":4,"lastUpdateSubmitDate":29,"lastUpdatePostDateStruct":30,"startDateStruct":33,"completionDateStruct":35,"leadSponsor":37,"locationsCount":40},"100651333","cognitive-outcomes-in-bad-related-stroke-100651333",false,"NCT07761182","Cognitive Outcomes in BAD-related Stroke","Cognitive Outcomes in Patients With Branch Atheromatous Disease-Related Stroke: A Prospective Cohort Study","Inclusion Criteria:\n\n1. Age: 18-80 years.\n2. Time from onset to enrollment: 8-14 days; if onset time is unknown, time from last known normal to enrollment must be 8-14 days.\n3. Meet the following imaging inclusion criteria:\n\n3\\. 1 DWI infarct: single (isolated) deep (subcortical) infarct 3.2 The culprit vessel is the lenticulostriate artery, and the DWI lesion meets at least one of the following criteria (A\u002FB): A. comma-shaped infarct expanding fan-wise from bottom to top on coronal view; or B. involvement of ≥3 axial slices (slice thickness 5-7 mm) 3.3 No ≥50% stenosis of the ipsilateral middle cerebral artery (confirmed by MRA, CTA, or DSA) 4. Informed consent form signed by the patient or their legally authorized representative.\n\nExclusion Criteria:\n\n1. Baseline imaging showing intracranial hemorrhagic disease, vascular malformation, space-occupying lesion, or other non-ischemic intracranial pathology.\n2. Transient ischemic attack or stroke mimics.\n3. Cardioembolic causes: including atrial fibrillation, valvular heart disease, infective endocarditis, etc.\n4. Tandem extracranial vascular stenosis ≥50% ipsilateral to the infarct lesion.\n5. Prior diagnosis of dementia (Alzheimer's disease, frontotemporal dementia, or Lewy body dementia) or significant cognitive decline (IQCODE \\> 3.38).\n6. Contraindications to photon-counting CT or 5T-MRI.\n7. Pregnancy or lactation.\n8. Life expectancy \\\u003C 1 year.","ALL","18 Years","80 Years",{"count":20,"type":21},60,"ESTIMATED","OBSERVATIONAL","Branch atheromatous disease (BAD) is a distinct subtype of ischemic stroke that is particularly prevalent among Chinese and other Asian populations. Patients with BAD are prone to early neurological deterioration and poor functional outcomes, and BAD is increasingly recognized as an independent disease entity. However, the association between BAD and cognitive impairment remains unclear. This nationwide, multicenter, prospective observational study will prospectively collect epidemiological, clinical, neuroimaging, functional, and cognitive outcome data from patients with BAD. The study aims to investigate the occurrence of cognitive impairment after BAD and identify the clinical and neuroimaging characteristics associated with cognitive impairment. In particular, the relationship between early neurological deterioration (END) and cognitive impairment will be investigated. As an exploratory objective, this study will further explore the potential brain network mechanisms underlying cognitive impairment associated with END events.",[25,26,27],"Branch Atheromatous Disease","Cognitive","Deterioration, Clinical","NOT_YET_RECRUITING","2026-08-07",{"date":31,"type":32},"2026-08-12","ACTUAL",{"date":34,"type":21},"2026-09-01",{"date":36,"type":21},"2028-10-01",{"name":38,"class":39},"Peking Union Medical College Hospital","OTHER",1,{"id":42,"slug":43,"hasResults":11,"nctId":44,"briefTitle":45,"officialTitle":46,"acronym":4,"eligibilityCriteria":47,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":4,"enrollmentInfo":48,"targetDuration":4,"studyType":50,"phases":51,"briefSummary":53,"conditions":54,"keywords":59,"overallStatus":68,"whyStopped":4,"lastUpdateSubmitDate":69,"lastUpdatePostDateStruct":70,"startDateStruct":72,"completionDateStruct":74,"leadSponsor":76,"locationsCount":78},"100651005","clinical-assessment-and-treatment-in-the-nursing-home-as-an-alternative-to-hospital-admission-100651005","NCT07756554","Clinical Assessment and Treatment in the Nursing Home as an Alternative to Hospital Admission","Home-Based Assessment and Treatment by Municipal Acute Care Teams Combined With Remote Senior Physician Consultation as an Alternative to Hospital Admission for Nursing Home Residents: A Multicenter Randomized Controlled Trial","Clusters (Nursing Homes):\n\nInclusion Criteria:\n\n* Nursing homes, defined as long-term care facilities with care personnal available 24\u002F7 for residents with need for continued medical care\n* Nursing homes located in the Capital Region of Denmark\n* Nursing homes accepting participation and cluster randomization\n\nExclusion criteria\n\n* Assisted living facilities, intermediate\u002Ftemporary care units, rehabilitation units, hospices, or other non-nursing-home setting.\n* Nursing homes located on the island of Bornholm",{"count":49,"type":21},9000,"INTERVENTIONAL",[52],"NA","This multicenter, cluster-randomized, unblinded quality-improvement study evaluates whether home-based clinical assessment by municipal acute care teams can safely reduce hospital admissions among nursing home residents experiencing acute illness or clinical deterioration during out-of-hours periods. Participating nursing homes in the Capital Region of Denmark will be randomized to either usual care (contacting the regional medical helpline, 1813) or the intervention pathway, in which nursing home staff contact a municipal acute care team directly. The acute care team performs an on-site clinical assessment and, when needed, consults a senior physician in the hospital emergency department to establish a treatment and observation plan, which may include continued management at the nursing home under hospital responsibility. The study compares the intervention with usual care with respect to hospital admissions and mortality among nursing home residents.",[55,27,56,57,58],"Nursing Homes Residents","Infection","Dehydration","Pain Management",[60,61,62,63,64,65,66,67],"hospital at home","admission avoidance","home-based treatment","nursing home residents","Hospital-at-Home","HaH","HITH","Hospital in the home","RECRUITING","2026-08-06",{"date":71,"type":32},"2026-08-10",{"date":73,"type":32},"2026-02-01",{"date":75,"type":21},"2027-12",{"name":77,"class":39},"Copenhagen University Hospital at Herlev",4,{"id":80,"slug":81,"hasResults":11,"nctId":82,"briefTitle":83,"officialTitle":84,"acronym":85,"eligibilityCriteria":86,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":4,"enrollmentInfo":87,"targetDuration":4,"studyType":50,"phases":89,"briefSummary":90,"conditions":91,"keywords":93,"overallStatus":28,"whyStopped":4,"lastUpdateSubmitDate":97,"lastUpdatePostDateStruct":98,"startDateStruct":100,"completionDateStruct":102,"leadSponsor":104,"locationsCount":106},"100641971","optimized-novel-wireless-assessment-of-respiratory-and-circulatory-dirstress---alarm-validation-100641971","NCT07649642","Optimized Novel Wireless Assessment of Respiratory and Circulatory Dirstress - Alarm Validation","Validation of the Accuracy and Relevance of Continuous Vital Sign Monitoring Using an AI-algorithm in Hospitalized Patients","ONWARD - AV","Inclusion criteria:\n\nPatients can be included if they meet all the following criteria:\n\n* Age ≥ 18 years\n* Patients assessed by the clinical staff as having an acute condition with risk for clinical deterioration.\n* Expected admission for more than 24 hours to a general ward.\n\nExclusion criteria:\n\nPatients are excluded if they meet any of the following criteria:\n\n* Having implanted electronic devices (such as pacemaker or Implantable Cardioverter Defibrillator (ICD) device).\n* Known pregnancy or breastfeeding\n* Inability to give informed consent.\n* The participant expected not to cooperate with study procedures.",{"count":88,"type":21},100,[52],"The ONWARD study evaluates user experiences from continuous vital sign monitoring alarms sent to the clinical staff in case of deviating vital signs at the general hospital ward. User experiences are evaluated though a 5-point likert questionnaire.",[92,27],"Postoperative Care",[94,95,96],"Vital sign","continuous monitoring","automated alerts","2026-06-10",{"date":99,"type":32},"2026-06-16",{"date":101,"type":21},"2026-05-28",{"date":103,"type":21},"2028-03-31",{"name":105,"class":39},"Eske Kvanner Aasvang",2,{"id":108,"slug":109,"hasResults":11,"nctId":110,"briefTitle":111,"officialTitle":112,"acronym":113,"eligibilityCriteria":114,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":4,"enrollmentInfo":115,"targetDuration":4,"studyType":22,"phases":4,"briefSummary":117,"conditions":118,"keywords":121,"overallStatus":68,"whyStopped":4,"lastUpdateSubmitDate":122,"lastUpdatePostDateStruct":123,"startDateStruct":125,"completionDateStruct":127,"leadSponsor":129,"locationsCount":40},"100476310","adverse-outcome-of-acute-pulmonary-embolism-by-artificial-intelligence-system-based-on-ct-pulmonary-angiography-100476310","NCT05482269","Adverse Outcome of Acute Pulmonary Embolism by Artificial Intelligence System Based on CT Pulmonary Angiography","Prediction of Adverse Outcome of Acute Pulmonary Embolism by Artificial Intelligence System Based on CT Pulmonary Angiography","PEAICTPA","Inclusion Criteria:\n\n* age of ≥ 18 years and a pulmonary embolism diagnosis based on CT pulmonary angiography\n\nExclusion Criteria:\n\n* pregnancy\n* reception of reperfusion treatment before admission\n* missing data regarding CT parameters, echocardiography, cardiac troponin I (c-Tn I), and N-terminal-pro brain natriuretic peptide (NT-pro BNP) levels.",{"count":116,"type":21},2000,"The investigators aim to build a predictive tool for Adverse Outcome of Acute Pulmonary Embolism by Artificial Intelligence System Based on CT Pulmonary Angiography.",[119,27,120],"Pulmonary Embolism and Thrombosis","Artificial Intelligence",[119,27,120],"2026-03-08",{"date":124,"type":32},"2026-03-11",{"date":126,"type":32},"2011-01-01",{"date":128,"type":21},"2026-12-31",{"name":130,"class":39},"Shengjing Hospital",{"id":132,"slug":133,"hasResults":11,"nctId":134,"briefTitle":135,"officialTitle":136,"acronym":4,"eligibilityCriteria":137,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":4,"enrollmentInfo":138,"targetDuration":140,"studyType":22,"phases":4,"briefSummary":141,"conditions":142,"keywords":143,"overallStatus":68,"whyStopped":4,"lastUpdateSubmitDate":122,"lastUpdatePostDateStruct":144,"startDateStruct":145,"completionDateStruct":147,"leadSponsor":148,"locationsCount":40},"100446848","a-predictive-tool-for-predicting-adverse-outcomes-in-acute-pulmonary-embolism-patients-using-ctpa-100446848","NCT05098769","A Predictive Tool for Predicting Adverse Outcomes in Acute Pulmonary Embolism Patients Using CTPA.","A Predictive Tool for Predicting Adverse Outcomes in Acute Pulmonary Embolism Patients Using Parameters Obtained by Computed Tomographic Pulmonary Angiography.","Inclusion Criteria:\n\n* age of ≥ 18 years and a PE diagnosis based on CT pulmonary angiography\n\nExclusion Criteria:\n\n* pregnancy\n* reception of reperfusion treatment before admission\n* missing data regarding CT parameters, echocardiography, cardiac troponin I (c-Tn I), and N-terminal-pro brain natriuretic peptide (NT-pro BNP) levels.",{"count":139,"type":21},300,"30 Days","This study collected clinical, laboratory, and CT parameters of acute patients with acute pulmonary embolism from admission to predict adverse outcomes within 30 days after admission into hospital.",[119,27],[119,27],{"date":124,"type":32},{"date":146,"type":32},"2021-01-18",{"date":128,"type":21},{"name":130,"class":39},{"id":150,"slug":151,"hasResults":11,"nctId":152,"briefTitle":153,"officialTitle":153,"acronym":154,"eligibilityCriteria":155,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":4,"enrollmentInfo":156,"targetDuration":4,"studyType":50,"phases":158,"briefSummary":159,"conditions":160,"keywords":4,"overallStatus":68,"whyStopped":4,"lastUpdateSubmitDate":161,"lastUpdatePostDateStruct":162,"startDateStruct":164,"completionDateStruct":166,"leadSponsor":168,"locationsCount":40},"100447587","feasibility-and-initial-clinical-impressions-of-predictive-monitoring-integrated-with-the-race-team-100447587","NCT05108376","Feasibility and Initial Clinical Impressions of Predictive Monitoring Integrated With the RACE Team","VSI","Inclusion Criteria:\n\nAdult patient (greater than or equal to 18 years of age) designated for the most aggressive levels of potential intervention (Category 1 status - Full Care and Category 2 status - Full Care except CPR) who belong to one of the following groups:\n\n* Patients who have undergone high risk elective surgery (Whipple procedures, high risk vascular surgery, high risk general surgery, among others)\n* Malignant haematology or oncology patients at high risk for deterioration\n* Patients with infection admitted from the Emergency Department (ED) to the ward\n* Other high-risk patients determined at the discretion of the clinical team\n\nExclusion Criteria:\n\n* Patients admitted to a unit with higher level monitoring (Neurological Acute Assessment Unit, Acute Monitoring Area, Trauma Step-Down, Intensive Care Unit)\n* Patients with Category III (Full Care except Respiratory or Hemodynamic Life Support, or CPR) or IV status (Comfort Care)",{"count":157,"type":21},140,[52],"Rapid response teams (RRTs) have been adopted by hospitals to provide urgent critical care to hospitalized patients who require quick intervention to prevent further deterioration. Early warning scores (EWS) serve as a method to identify patients requiring RRT assessment by analyzing routinely collected data such as vital signs and laboratory results. The Visensia Safety Index (VSI) is an EWS that uses continuous vital sign monitoring and machine learning to identify the likelihood of deterioration and can be integrated with existing hospital data infrastructure. Initial studies of the VSI have both validated the system and found that patients monitored using VSI had a shorter duration of any instability and fewer episodes of serious and persistent instability. The investigators' recent retrospective analysis at The Ottawa Hospital (TOH) identified that implementation of an EWS could have detected earlier deterioration in over half of the patients identified, potentially preventing subsequent ICU admission, severity of illness, and\u002For mortality. Thus, this study aims to determine the feasibility and potential impact of implementing a portable continuous monitoring system with a VSI trigger at TOH to identify patients at high risk of deterioration.",[27],"2025-05-09",{"date":163,"type":32},"2025-05-14",{"date":165,"type":32},"2023-09-19",{"date":167,"type":21},"2025-09",{"name":169,"class":39},"Ottawa Hospital Research Institute"]